Editing 894: Progeny
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==Explanation== | ==Explanation== | ||
β | This comic is a reference to IBM's computer {{w|Watson (computer)|Watson}} that beat humans at {{w|Jeopardy}} (see [[1002: Game AIs]]). The IBM team created a computer that could formulate a response to a Jeopardy-style question. Jeopardy is a game played where the contestants are given the answer to a question, and must devise the question. A question might be "Its largest airport was named for a World War II hero; its second largest, for a World War II battle", to which the contestant must answer "What is Chicago?". When going up against two Jeopardy champions, Watson was able to {{w|Watson (computer)#Jeopardy!|beat them both}} (by some margin, although he did answer the above-mentioned question incorrectly with "Toronto"). | + | This comic is a reference to IBM's computer {{w|Watson (computer)|Watson}} that beat humans at {{w|Jeopardy}} (see [[1002: Game AIs]]). The IBM team created a computer that could formulate a response to a Jeopardy-style question. In case you are not familiar, Jeopardy is a game played where the contestants are given the answer to a question, and must devise the question. A question might be "Its largest airport was named for a World War II hero; its second largest, for a World War II battle", to which the contestant must answer "What is Chicago?". When going up against two Jeopardy champions, Watson was able to {{w|Watson (computer)#Jeopardy!|beat them both}} (by some margin, although he did answer the above-mentioned question incorrectly with "Toronto"). |
[[Megan]] chimes in that we are "pretty awesome at teaching" which is very true. Humans are the best (on this planet) at teaching other things to do a set of tasks. We train dogs, cats, lizards{{Actual citation needed}}, birds, other people, and now we are getting quite good at ''teaching'' a computer, a simple machine completely of our own design, to mimic our own thought patterns and make decisions similar to what we would make. (See also [[1263: Reassuring]]). It can also be argued that building a machine proficient in a task is equally if not more impressive than being proficient in the task yourself. Thus, humans have nothing less to be proud of. | [[Megan]] chimes in that we are "pretty awesome at teaching" which is very true. Humans are the best (on this planet) at teaching other things to do a set of tasks. We train dogs, cats, lizards{{Actual citation needed}}, birds, other people, and now we are getting quite good at ''teaching'' a computer, a simple machine completely of our own design, to mimic our own thought patterns and make decisions similar to what we would make. (See also [[1263: Reassuring]]). It can also be argued that building a machine proficient in a task is equally if not more impressive than being proficient in the task yourself. Thus, humans have nothing less to be proud of. |